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to replace it.
This change prepares `tf.data` for TensorFlow 2.0, where `tf.contrib` will no longer exist. It retains the pre-existing endpoints in `tf.contrib.data` with deprecation warnings.
Note there are some exceptions to the move:
* Deprecated symbols in `tf.contrib.data` have not been moved to `tf.data.experimental`, because replacements already exist.
* `tf.contrib.data.LMDBDataset` has not been moved, because we plan to move it to a SIG-maintained repository.
* `tf.contrib.data.assert_element_shape()` has not yet been moved, because it depends on functionality in `tf.contrib`, and it will move in a later change.
* `tf.contrib.data.AUTOTUNE` has not yet been moved, because we have not yet determined how to `tf_export()` a Python integer.
* The stats-related API endpoints have not yet appeared in a released version of TensorFlow, so these are moved to `tf.data.experimental` without retaining an endpoint in `tf.contrib.data`.
In addition, this change includes some build rule and ApiDef refactoring:
* Some of the "//third_party/tensorflow/python:training" dependencies had to be split in order to avoid a circular dependency.
* The `tf.contrib.stateless` ops now have a private core library for the generated wrappers (and accordingly are hidden in their ApiDef) so that `tf.data.experimental.sample_from_datasets()` can depend on them.
PiperOrigin-RevId: 215304249
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PiperOrigin-RevId: 190878279
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PiperOrigin-RevId: 186674197
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END_PUBLIC
---
Commit d77b99809 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by gunan<gunan@google.com>:
Update docs for `begin_params_axis` (#13979)
This fix fixes the issue raised in 13975 where `begin_shift_axis`
is actually `begin_params_axis`.
This fix fixes 13975.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit e6a242b4e authored by Yifei Feng<fengyifei2026@gmail.com>
Committed by gunan<gunan@google.com>:
Add GCC/Compiler version to issue template. (#14113)
As suggested in #13930
---
Commit 7ece1c0b8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Moving model_pruning library to tf.contrib
PiperOrigin-RevId: 174214419
---
Commit 693325c83 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Log the full traceback in Coordinator.request_stop if it's available
PiperOrigin-RevId: 174213375
---
Commit 6c4a769ab authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete duplicate label_image script.
The version in examples/label_image is more complete (with image size and normalization options), so it can be used with `mobilenets`.
Also: removed bazel from main tutorial instructions.
PiperOrigin-RevId: 174212674
---
Commit 7a5b81c29 authored by Yao Zhang<yaozhang@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Materialize shape for ShapeN.
PiperOrigin-RevId: 174211500
---
Commit 78041b1dd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
internal change
PiperOrigin-RevId: 174211190
---
Commit 2118fcf62 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in contrib/tensor_forest/...
PiperOrigin-RevId: 174201884
---
Commit 6849ef8f6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
internal change.
PiperOrigin-RevId: 174197506
---
Commit 37370d98f authored by resec<resec0109@gmail.com>
Committed by gunan<gunan@google.com>:
Support more Android arch in Makefile build (#12806)
* Support more Android arch in Makefile build
* update Makefile
* fix MARCH_OPTION
* persist multiple architectures across builds
* persist multiple architectures across builds
* persist multiple architectures across builds
* persistence bug fix
* persistence bug fix
* persistence bug fix
* add -latomic to linker flags for benchmark
* Change ANDROID_OS_ARCH to ANDROID_HOST_OS_ARCH
---
Commit c40d54173 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Exposes recall_at_top_k under tf.metrics.
PiperOrigin-RevId: 174189641
---
Commit 18bf5b2d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Return a classifier score of the same type as the logits.
PiperOrigin-RevId: 174184871
---
Commit 9da02be11 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make 'collections' a list, as documented and expected by downstream custom getters.
PiperOrigin-RevId: 174184867
---
Commit 16b0bb095 authored by loki der quaeler<quaeler@users.noreply.github.com>
Committed by gunan<gunan@google.com>:
Adding a feed for boolean tensors to TensorFlowInferenceInterface (#14059)
* Sublime Text index-ignore file (a copy of .gitignore)
* Adding the requested implementation to TensorFlowInferenceInterface
* Removing Sublime Text .ignore file from remote repository
* indeed there was
---
Commit fa9d8aab4 authored by Urs K?ster<ursk@users.noreply.github.com>
Committed by gunan<gunan@google.com>:
Add 'log_progress' argument for tf.estimator.Estimator's evaluate function (#13695)
* Add argument for tf.estimator.Estimator's evaluate function
* add log_progress argument to ._convert_eval_steps_to_hooks for TPU estimator
* log only every 10th step if more than 100 iterations in _StopAfterNEvalsHook
* ensure last step is logged and aim for 10 outputs total
---
Commit 07a91dac5 authored by nolan liu<nolan.liou@gmail.com>
Committed by gunan<gunan@google.com>:
make `gather` cpu kernel to be multiple threads. (#12246)
* Change the gather op to multi-thread.
* Modify the gather kernel of xla compiler in order to be compatible with multi-threads cpu kernel.
* Add prefetch logic to gather op kernel.
* Update the indention of gather op kernel code.
* Update the gather kernel code for multiple thread.
* Remove reference to ealier version of code in gather functor.
* Change the framework_lite dep of gather_functor to framework.
* Remove mutex guard in gather functor.
---
Commit a956486be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove an erronous __attribute__((...)) tag.
There is no __attribute__((guarded)) or __attribute__((pt_guarded)) attribute in Clang, and if we turn on warnings for unknown attributes (which are currently turned off), this causes build failures. This means that, when the warnings are turned off, this is simply a no-op.
PiperOrigin-RevId: 174134252
---
Commit 27412f3b6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add compiler/tf2xla/sharding_util.h with utilities for getting the core device from
a Node.
PiperOrigin-RevId: 174133602
---
Commit ab4349a26 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in selected packages in contrib/...
PiperOrigin-RevId: 174115744
---
Commit 4aa90bfd3 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add HLO matchers that check parameter numbers and GTE indices.
This lets you do
EXPECT_THAT(foo, op::Parameter(42));
and
EXPECT_THAT(bar, op::GetTupleElement(baz, 8));
PiperOrigin-RevId: 174113597
---
Commit f97e7c69b authored by Olivia Nordquist<nolivia@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
partially exposing the _set_attr and _get_attr method in python
PiperOrigin-RevId: 174113043
---
Commit 8e732a312 authored by Artem Belevich<tra@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Prefer cubin over PTX when we launch CUDA kernels.
Native GPU code, if we have it, should be preferred over JIT compilation of PTX.
PiperOrigin-RevId: 174110646
---
Commit 2ccf3aba4 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Permanently remove several modules from tf.contrib.bayesflow.
These modules are very infrequently used and will not be developed moving forward.
Removing this code paves the way for remaining modules in tf.contrib.bayesflow
to move to their own repo.
PiperOrigin-RevId: 174110067
---
Commit ef7052fbd authored by Andrew Selle<aselle@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Open source build support for TensorFlow Lite Toco.
- Handle proto incompatibilities
- Mixed bazel compatibility fixes.
- Add link to absl libraries
PiperOrigin-RevId: 174103981
---
Commit d6a9cd40c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix "hides overloaded virtual function" error in default/gpu_tracer.cc when compiled with -Werror,-Woverloaded-virtual.
PiperOrigin-RevId: 174101519
---
Commit b242a7988 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set metric variable initializers as lambda.
PiperOrigin-RevId: 174100686
---
Commit 57b1c5621 authored by Alan Yee<alyee@ucsd.edu>
Committed by drpngx<drpngx@users.noreply.github.com>:
Add deprecation notes (#12614)
* Update lookup_ops.py
Minor comment fix
* Update metrics_ops.py
Add deprecated notes
* Update tensor_util.py
Update deprecated note on remove_squeezable_dimensions
* Update metric_ops.py
Add deprecated notes
---
Commit 453dd5848 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Support for tf.AUTO_REUSE when re-using registrations. Multi-tower support for FullFB, NaiveDiagonalFB. Removal of LayerCollection.generic_registrations.
PiperOrigin-RevId: 174092003
---
Commit 0a7be5a2f authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rename (Add|Get)ProfileResult to something more specific; NFC
PiperOrigin-RevId: 174084570
---
Commit f1916f8f6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
- Remove slice hack to properly initialize missing entries in weight matrices
- Add real support for EmbeddingColumns / input_layer()
- Fix warmstarting for non-PartitionedVariables
PiperOrigin-RevId: 174083777
---
Commit f567ddf87 authored by Alex Sergeev<alexander.sergeev@live.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
Add tf.sysconfig.get_compile_flags() & tf.sysconfig.get_link_flags() for custom operators (#13496)
* Add flags for custom op compilation
* Move ABI logic into version_info.cc
* Add #include <string> to be able to read _GLIBCXX_USE_CXX11_ABI value.
* Make flags to be lists
* Add _flag to cxx11_abi
* Address review comment.
* Move CXX import to the top level.
* Add goldens update
---
Commit 0cddb9bca authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 174074499
---
Commit ba8c38959 authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change wide_deep.md and wide.md to reference the TensorFlow official models version rather than the tf.contrib.learn version
PiperOrigin-RevId: 174074112
---
Commit f3006422c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make `RunTrainOpsHook` public.
PiperOrigin-RevId: 174073925
---
Commit 21dafd6d2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 174073569
---
Commit 66fc99a3b authored by Artem Belevich<tra@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:GPU] Short-circuit compilation of no-op IR -> empty PTX.
There's no point constructing/running LLVM pipeline if we know that we have no
kernels in the IR we've generated for the given HLO op. This is often the case
for ops we can optimize away at the HLO level.
PiperOrigin-RevId: 174072540
---
Commit c911d0f16 authored by Dhananjay Nakrani<dhananjayn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switch over python calls to RandomPoissonV2.
Part 2 of Support int32/64 in tf.random_poisson().
PiperOrigin-RevId: 174071745
---
Commit b5d5326c6 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:GPU] Fix race condition in gpu_compiler.cc.
We were racing on libdevice_dir_.
PiperOrigin-RevId: 174070334
---
Commit 35939d2d3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Fix string to HLO opcode conversion for atan2, complex, imag and real.
Make sure that we can't forget opcodes by auto-generating the conversion
functions.
Add auto-generated functions to test HLOs for properties (like IsVariadic,
IsComparison, etc.)
This makes changing HLO more robust and easier because there are fewer places
to update when adding or removing an HLO opcode.
Also:
* Fix IsElementwiseBinary for atan2.
* Add a unit test for HLO opcode helpers.
* Express IsElementwiseBinary in terms of IsElementwise() and operand_count()
to avoid having to keep the two in sync manually.
PiperOrigin-RevId: 174069664
---
Commit 3b845c80d authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable resnet50_graph_test under TSAN due to timeouts.
PiperOrigin-RevId: 174066937
---
Commit 8a09bbc4a authored by Igor Ganichev<iga@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add TFE_Py_TensorShapeSlice function
TFE_Py_TensorShapeSlice takes a list of EagerTensors and returns a list
of their i'th dimensions. This utility is fairly niche but it is simple
and reduces SPINN training time by over 12%.
PiperOrigin-RevId: 174065044
---
Commit 585432cc2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor ArgMin / ArgMax index ops as XlaHelpers.
PiperOrigin-RevId: 174061370
---
Commit e6faa845c authored by Michael Case<mikecase@chromium.org>
Committed by gunan<gunan@google.com>:
Merge v1.4-rc1 back into master branch. (#13960)
* Update RELEASE NOTES for TensorFlow 1.4
* Update the version strings for TF 1.4-rc0.
* Update version strings in POM files missed by update script.
* Pin TensorBoard 0.4 to TensorFlow 1.4
* Fixing the name of the disabled test. (#13592)
* Revert "Implementing ghost batch norm as defined in https://arxiv.org/pdf/1705.08741."
This reverts commit 125f7afa4a483855dc75791445d2dea64587876a.
* Disable iterator_ops_test on Windows for 1.4 release (#13609)
* Disable failing Windows tests for r1.4 release.
testRemoteIteratorUsingRemoteCallOpDirectSessionGPUCPU test is failing
with "TypeError: only integer scalar arrays can be converted to a scalar
index" on the Windows GPU Release bot. Disabling test.
* Fix typo.
* Also disalbe iterator_ops_test from contrib/.
* Add contributing authors to 1.4 Release notes.
Thanks!
* Fixes to authors.
Removed duplicate and removed googler from contributing author list.
* Fixes and additions to release notes.
Added line about Keras moving into core.
Added line about CUDA/cuDNN versions.
Added line about custom ops.
* Fixing a master regression (#13562)
* Update version strings for 1.4.0rc1
* Remaining cherry-picks for 1.4.0rc1 (#13700)
* Java: Tweak to address some Javadoc errors.
PiperOrigin-RevId: 171987329
* Fix S3 BUILD not including files explicitly.
This causes remote builds to fail since they AWS headers were missing.
PiperOrigin-RevId: 171718021
* Add missing default config setting in aws.BUILD (#13662)
* Remove setting AWS logging for S3 file system.
Was causing issues with tests. Can repro test failures on Macs by running...
bazel test --config=s3 --cache_test_results=no --test_output=streamed
//tensorflow/core/kernels:control_flow_ops_test
Possible reason for error is symbol collision with AWS logging code.
One possible solution would be to split out another shared object for
the S3 filesystem op which does not link in libtensorflow_framework.so.
This is done, for example, by libforestprotos.so in
tensorflow/contrib/tensor_forest/BUILD
PiperOrigin-RevId: 171246381
* Relanding change to add config to enable S3 file system support.
Pass --config=s3 argument to Bazel to build with S3 file system support.
Change was originally rolled back due to a failure it caused in
//tensorflow/core/kernels:control_flow_ops_test on Macs which is now fixed.
PiperOrigin-RevId: 171579378
* Update release notes about Amazon S3 file system support being default.
* Add documentation to sloppy_interleave function
PiperOrigin-RevId: 171303413
* Add `cudnn_rnn_ops` to the Windows build
Fixes #13696.
* Creating a patch for the wrong links that still point to dev. (#13753)
* tfdbg release notes in r1.4
* Fix ambiguous type comparison in s3_crypto.cc (#13758)
tensorflow/contrib/s3/s3_crypto.cc(74): error C2666:
'std::fpos<_Mbstatet>::operator ==': 3 overloads have similar conversions
could be 'bool std::fpos<_Mbstatet>::operator ==(std::streamoff) const'
or 'bool std::fpos<_Mbstatet>::operator ==(const std::fpos<_Mbstatet> &)
We were seeing this compilation error on Windows builds.
* Set estimator run_config default random seed to None. This will make it aligned with other parts of the TF. Many users are not aware of impact of non-random seed. For example it may lead to train only on a small fraction of training data due to preemptions.
We're changing default behavior since we consider it as a bug fix.
PiperOrigin-RevId: 172519268
* Move global_step_read dependency to model_fn instead of input_fn.
PiperOrigin-RevId: 172366972
* [tf.data] Fix broken implementation of `Dataset.from_generator()` on Windows.
Due to a mix-up between NumPy's default array element type for a Python `int` on Windows and Linux, a tf.py_func() in `Dataset.from_generator()` would appear to return the wrong type on Windows (np.int32 instead of np.int64).
All code using `Dataset.from_generator()` on Windows was previously broken. This change fixes both `tf.data.Dataset.from_generator()` and `tf.contrib.data.Dataset.from_generator()`. It also enables test coverage for this method on Windows, which should prevent future breakage.
PiperOrigin-RevId: 172346533
* Update RELEASE notes for change to run_config random seed.
* Disable probable timeout flake on Ubuntu machines.
PiperOrigin-RevId: 172408922
* Disabling failing contrib tests.
* Disable S3 on Windows due to build issues.
* Update serving_input_fn argument name to serving_input_receiver_fn
PiperOrigin-RevId: 172787460
* Update the C++ API guide (#13858)
- Adds the standard warning at the top that people may want the master branch
- Includes a documentation fix for 1.4 (cc_binary -> tf_cc_binary to avoid
undefined symbols).
* Add known Dataset issue to RELEASE.md. (#13870)
Adding info about issue using Unicode strings with Datasets.
* Fixes to merge.
* Fix spelling of tensorflow in install_sources.md
---
Commit 6eac524ef authored by cglewis<clewis@iqt.org>
Committed by cglewis<clewis@iqt.org>:
Use 'LABEL maintainer=' in Dockerfile
* Use 'LABEL maintainer=' in Dockerfile
This fix is a follow up of 13961 to replace `MAINTAINER`
with `LABEL maintainer=` in Dockerfile. The keyword
`MAINTAINER` has long been deprecated and is replaced by `LABEL`,
which is much more flexible and is easily searchable through `docker
inspect`.
This fix replaces remaining `MAINTAINER` with `LABEL`.
Signed-off-by: Charlie Lewis <clewis@iqt.org>
* Additional `MAITAINER` -> `LABEL`
Signed-off-by: Charlie Lewis <clewis@iqt.org>
---
Commit 469970260 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Modify quantization to support add ops that occur after Conv2D
PiperOrigin-RevId: 174058697
---
Commit 938643b56 authored by Amit Patankar<amitpatankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Replace the docker check with an OS check.
PiperOrigin-RevId: 174057778
---
Commit 5f1a66ccb authored by Igor Saprykin<isaprykin@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add more recovery functionality to MonitoredSession.run_step_fn.
Current implemention wouldn't recover from one of `_PREEMPTION_ERRORS` during a fetch through the raw session that is made available to the step_fn.
The changelist presents a way to map the desired functionality to the hiearchy of _MonitoredSession > (possibly!) _RecoverableSession > _CoordinatedSession > _HookedSession.
PiperOrigin-RevId: 174053865
---
Commit 9a2b0983a authored by Yifei Feng<fengyifei2026@gmail.com>
Committed by gunan<gunan@google.com>:
Add apt-key for ubuntu keyserver (#14114)
---
Commit 479ee24a0 authored by Asim Shankar<asimshankar@gmail.com>
Committed by gunan<gunan@google.com>:
eager: Update broken link in README (#14136)
---
Commit ad7bb2b9e authored by Asim Shankar<asimshankar@gmail.com>
Committed by gunan<gunan@google.com>:
eager: Update broken links in guide.md (#14135)
---
Commit c37ebf0d5 authored by Thomas Deegan<tadeegan@gmail.com>
Committed by gunan<gunan@google.com>:
Resolve //tensorflow relative to tensorflow repo so that tfcompile.bzl can be correctly loaded from another Bazel project (#14103)
---
Commit b2ff3ad96 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added GraphKeys.METRIC_VARIABLE collection. Added all variables under tf.metrics and tf.contrib.metrics into this collection. This will enable replication of model for evaluation. When we replicate a metric in multiple towers (let's say for each qpu we replicate same model/metric), we cannot reduce the output of metrics. On the other hand internal state (local-variables) of those metrics can reducible via sum.
PiperOrigin-RevId: 174051559
---
Commit 98dad195d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds sigmoid to the list of operations that can be recomputed.
PiperOrigin-RevId: 174047825
---
Commit 123749fb1 authored by Yuan (Terry) Tang<terrytangyuan@users.noreply.github.com>
Committed by Martin Wicke<martin.wicke@gmail.com>:
Remove Scikit Flow link and description (#14036)
---
Commit 0d118e4dc authored by Benoit Steiner<bsteiner@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Implemented tensorflow::port::NominalCPUFrequency()
PiperOrigin-RevId: 174041196
---
Commit 648993e82 authored by Andrew Harp<andrew.harp@gmail.com>
Committed by Andrew Harp<andrew.harp@gmail.com>:
delete extraneous file
---
Commit c2ff8a5ab authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete backticks
PiperOrigin-RevId: 174030921
---
Commit 333ba224d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Dependency information for Skylark macros
PiperOrigin-RevId: 174023371
---
Commit 9ee0cecec authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shrink the model size for unit test.
PiperOrigin-RevId: 174001263
---
Commit c44f67a7e authored by Yifei Feng<fengyifei2026@gmail.com>
Committed by gunan<gunan@google.com>:
Disable clang_format check. (#14115)
Different clang_format version can cause different formats with the same style option. This check might be too strict. Disable for now.
---
Commit a6a618843 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
eager: Documentation and example models.
- Updated README
- A preliminary "User's Guide"
- A few example models, some with benchmarks
PiperOrigin-RevId: 173996303
---
Commit de38e5dff authored by ???<dev@goodow.com>
Committed by GitHub<noreply@github.com>:
fix broken link
---
Commit cd81bc8e0 authored by Rohan Jain<rohanj@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds a PrefetchWithFn op to contrib/data. Alongwith the FunctionBufferingResource, this can be used to prefetch and fill up a buffer by making repeated function calls.
Also fixes a TODO in the ProcessFLR implementation to respect alloc_attrs for Rendezvous calls.
PiperOrigin-RevId: 173990680
---
Commit 17695212c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Don't pass HLO operands in HandleAtan2.
This makes it consistent with the rest of the Visit methods where we only
pass the HLO itself.
PiperOrigin-RevId: 173990595
---
Commit 113be5746 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
A few profiler improvements
1. Track the full allocation history of each tensor, visualized in timeline.
2. Better ProfileContext for tracing step selection.
3. Small bug fix.
PiperOrigin-RevId: 173988293
---
Commit 6d1263cdf authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Remove dead opcode kIndex.
PiperOrigin-RevId: 173987428
---
Commit a4b5356e4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Reduce boilerplate code in HLO visitors.
Only pass the HloInstruction into visitor methods. This makes changing
instructions and visitors easier.
PiperOrigin-RevId: 173983398
---
Commit d9cee35b6 authored by LevineHuang<levinehuang@163.com>
Committed by Benoit Steiner<benoitsteiner@users.noreply.github.com>:
Typo fix in file 'fully_connected_feed.py' (#14033)
* Typo fix in file 'fully_connected_feed.py'
* Minor edits to coding style
---
Commit bb7ed1c88 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multi-tower ConvNet example.
PiperOrigin-RevId: 173982527
---
Commit 2ba529856 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Initial add of docs for Tensorflow on Mobile.
PiperOrigin-RevId: 173980290
---
Commit 187453d61 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change momentum optimizer to allow callable learning_rate and momentum
parameters. This can be useful for implementing learninge rate decay.
PiperOrigin-RevId: 173975321
---
Commit 542b323e5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Register quint16/qint16 for GatherOp.
PiperOrigin-RevId: 173974904
---
Commit 309e34061 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid uncollectable cycles with a separate deleter object for resources.
PiperOrigin-RevId: 173972515
---
Commit 73fdaf0b5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Summary-writing support for Evaluators.
PiperOrigin-RevId: 173971621
---
Commit 72be26dc8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.data] Iterator Save and Restore for Dataset.from_tensors(..), Dataset.from_tensor_slices(..) and dataset.concatenate(..).
PiperOrigin-RevId: 173971324
---
Commit 09f62ab38 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Speeding up the case for sparse float columns that have only 1 value.
PiperOrigin-RevId: 173971121
---
Commit c315cf1ee authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal-only changes
PiperOrigin-RevId: 173968246
---
Commit 293ba20be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make learning_rate_decay.piecewise_constant work in Eager mode.
PiperOrigin-RevId: 173967531
---
Commit 0e6abfcda authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Example for multi-tower support for MNIST MLP.
PiperOrigin-RevId: 173967370
---
Commit b46c196e9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
* Add graph rewrite rule that removes repeated application of scalar unary ops that are involutions (their own inverse).
* Update rewrite rule for Transpose to also handle ConjugateTranspose.
PiperOrigin-RevId: 173967184
---
Commit ff5c276ad authored by Stephan Hoyer<shoyer@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Longer README for tf.contrib.labeled_tensor
PiperOrigin-RevId: 173966577
---
Commit 558f146e1 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 173966068
---
Commit f9a673cb7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
In the overloaded HloVerifier::CheckShape, include the failing instruction in
the error message.
PiperOrigin-RevId: 173965368
---
Commit 302ab0ff7 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173965174
---
Commit 89120eb68 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
scatter_update for resource variables
PiperOrigin-RevId: 173963715
---
Commit 8f7903b4c authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Introduce SQLite SummaryWriterInterface
This change allows tensors to be written from the graph, as they flow, directly
to the database. Many of the important details haven't been implemented yet.
This has been done with the new summary interface that's going to be used with
eager.
PiperOrigin-RevId: 173961448
---
Commit 9aaa49a4e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid using variables as booleans (similarly to tensors).
PiperOrigin-RevId: 173956625
---
Commit a60cd87c4 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
No need for unique variable names in eager.
PiperOrigin-RevId: 173954805
---
Commit f17f389d8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add a workaround in the Grappler arithmetic optimizer for the "Add" op not being marked commutative. This will allow Grappler to dedup nodes Add(x,y) and Add(y,x).
PiperOrigin-RevId: 173950586
---
Commit e40eb810a authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Add errors for classic tf.summary.* ops and FileWriter
PiperOrigin-RevId: 173949980
---
Commit 25620825b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Dataset: Adds eager warnings to make_initializable_iterator and make_one_shot_iterator.
PiperOrigin-RevId: 173949737
---
Commit 1d6dae88e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add check to tf.device when called with a function in eager mode.
PiperOrigin-RevId: 173947845
---
Commit 3639aa7ff authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Always run iterator deleter in eager mode for safety.
PiperOrigin-RevId: 173947019
---
Commit efcbf6e34 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Supported in this CL:
* Attaching sharding descriptors to HLO ops
* Partitioning the HLO graph into per-device computations based on those sharding descriptors.
* All operator support for device placement and ops replicated on all devices.
* Elementwise op support for tiled shardings.
* 2D Convolution support for tiled shardings (no stride or dilation support).
PiperOrigin-RevId: 173946036
---
Commit 682a6ed64 authored by Jon Shlens<shlens@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update the documentation for sample_distorted_bounding_box
PiperOrigin-RevId: 173943029
---
Commit 4f6e6ea4c authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix typo in comment; NFC
PiperOrigin-RevId: 173942305
---
Commit 07584221f authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Set visibility to HIDDEN for hidden Python ops in ApiDef.
PiperOrigin-RevId: 173942001
---
Commit 35cc8bb0a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multiple minibatches support for LayerCollection.register_conv2d()
PiperOrigin-RevId: 173941279
---
Commit 32f3c3a43 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 173933228
---
Commit 8cc7b47a4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173932574
---
Commit b9337de5b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multi-tower support for ConvKFCBasicFB
PiperOrigin-RevId: 173932013
---
Commit 1b6b7e208 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add registration for op AddV2, which is identical to Add, except that it does does not implement string concatenation. This allows us to mark AddV2 is_commutative and is_aggregate, which will allow optimizers more freedom.
PiperOrigin-RevId: 173931848
---
Commit 629e6d0c1 authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Bugfix: Make `tf.contrib.distributions.Independent` tests not flaky.
PiperOrigin-RevId: 173921378
---
Commit 4b63f47d9 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] Don't crash if someone tries to do dot(X, X) or dot(X, X^T).
PiperOrigin-RevId: 173919310
---
Commit 89582677c authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
EagerVariableStore, for compatibility with functional layers.
PiperOrigin-RevId: 173915730
---
Commit cef680b53 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Enable shape inference on functions in grappler.
PiperOrigin-RevId: 173914941
---
Commit e8ac0b48f authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Report a nicer error message when differentiating a function
that returns None in eager
PiperOrigin-RevId: 173914883
---
Commit 85f8d9240 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tensorflow training input] If SparseTensors are used in batch* ops, ensure restoration.
This forces the ST restore op to be called if any tensors are accessed at the output
of the batch, thus fixing a memory leak.
Solution suggested by Derek Murray.
Fixes #13999.
PiperOrigin-RevId: 173904309
---
Commit 7fd261602 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add TF_GraphVersions() to C API and use in Graph.graph_def_versions()
PiperOrigin-RevId: 173902666
---
Commit 4723f8f6e authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Support SymbolicGradient for functions with non-trainable arguments.
The non-trainable arguments end up with None as their incoming out_grad, which is not a valid input to SymbolicGradient (inputs have to be convertible to Tensor, and None isn't).
PiperOrigin-RevId: 173901727
---
Commit 494672475 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Added "NOTE: You may only install TensorFlow on 64-bit machines" to all the
TensorFlow Install guides.
PiperOrigin-RevId: 173899394
---
Commit b73743e3a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove accidental disablation of (already manual) tests.
PiperOrigin-RevId: 173898910
---
Commit ce0238198 authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add ability to fetch return nodes and unused input mappings from C API GraphDef import
This change introduces yet another ImportGraphDef function to the C
API (TF_GraphImportGraphDefWithResults), but this one has extensible
return values so we shouldn't have to add more in the future.
This change also modifies the ImportGraphDef C interface to manage all
string data for the user.
PiperOrigin-RevId: 173894710
---
Commit ef4490f63 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BUILD cleanup in contrib/...
PiperOrigin-RevId: 173889798
---
Commit 2e54fd6de authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds eager execution compatibility note in Readers, Queues, and QueueRunner.
Raises a RuntimeError in base classes for QueueBase, ReaderBase, and QueueRunner.
PiperOrigin-RevId: 173888425
---
Commit 32ab30cb0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes typo in compatibility.
PiperOrigin-RevId: 173887031
---
Commit 325c8e5ef authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Improve C++ SQLite veneer
- Use shared_ptr for Sqlite
- Don't need unique_ptr on SqliteStatement
- Don't need db namespace
- Include SQL in error statuses
PiperOrigin-RevId: 173802267
---
Commit 0eba15fe6 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds eager compatability message for PartitionedVariable.
PiperOrigin-RevId: 173772851
---
Commit e7645b629 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] DOT dumper: Handle fusion nodes nested inside other nodes (e.g. map).
PiperOrigin-RevId: 173752314
---
Commit 8ec7540e0 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Fix pip test for tf.contrib.summary
Fixes test failure in tensorflow/contrib/summary:summary_ops_test, e.g.,
http://ci.tensorflow.org/job/tensorflow-cl-cpu-python3-pip/10933/console
PiperOrigin-RevId: 173749502
---
Commit c16797ec3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds eager execution compatibility note in Estimators.
Raises a RuntimeError in Estimator base class.
PiperOrigin-RevId: 173744765
---
Commit e8a62a30b authored by ???<dev@goodow.com>
Committed by GitHub<noreply@github.com>:
Fix minor typo
---
Commit 36696ad58 authored by ???<dev@goodow.com>
Committed by Larry Tin<dev@goodow.com>:
tf.zeros doesn't accept a tensor argument
ValueError: Shape must be rank 1 but is rank 0 for 'zeros_2' (op: 'Fill') with input shapes: [], [].
---
Commit 9f4b12bb5 authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] DOT dumper: Print constant shape when we elide the constant's value.
For example, instead of "operand 1 = %constant.42", we now print
"operand 1 = %constant.42 (f32[100])".
PiperOrigin-RevId: 173741373
---
Commit 45c5118f0 authored by Mark Heffernan<meheff@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
When creating an HloModule from an HloProto construct the HloModuleConfig
with a correct ProgramShape which matches the shapes of the entry computation.
Previously the module config had a bogus or default constructed ProgramShape.
PiperOrigin-RevId: 173741104
---
Commit 09a89ae57 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add `tf.contrib.distributions.bijectors.Reshape`.
PiperOrigin-RevId: 173740491
---
Commit 729db035e authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allow compatibility notes in class, property and module doc-strings
PiperOrigin-RevId: 173739674
---
Commit ca56fa49a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 173739110
---
Commit 48df7c972 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173738765
---
Commit fb2c84cb2 authored by Jeremy Lau<lauj@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 173738655
---
Commit 245a5c171 authored by Akshay Agrawal<akshayka@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make functional_ops compatible with eager exeuction by ignoring
caching devices when in eager mode
PiperOrigin-RevId: 173737949
---
Commit d1c59bd37 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tf.quantize op, which is the same as tf.quantize_v2.
PiperOrigin-RevId: 173735986
---
Commit 3ff9c8d2a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix typos in Linear Model Tutorial samples
1. test_file_name is undefined (should be test_file.name)
2. train_file_name is undefined (should be train_file.name)
PiperOrigin-RevId: 173733442
---
Commit abbab2430 authored by Michael Case<mikecase@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add bazel mirror links for newly added workspace dependencies.
PiperOrigin-RevId: 173732606
---
Commit 46a577feb authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[CMake] Generate audio_ops wrappers in the CMake build.
Fixes #14004.
PiperOrigin-RevId: 173732397
---
Commit 7cb7f88c5 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add count metric, a helper function that computes the total number or total weight of examples.
PiperOrigin-RevId: 173731046
---
Commit e1d7615eb authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix issue with gradients of functions which return multiple values.
PiperOrigin-RevId: 173730922
---
Commit 80374a7b4 authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Breaking change: Rename `tf.contrib.distributions.Independent` parameter from
`reduce_batch_ndims` to `reinterpreted_batch_ndims`. Also change default;
`reinterpreted_batch_ndims` default has semantics of `tf.layers.flatten`, i.e.,
all batch dimensions except the first (batch axis 0) are interpretted as being
part of the event.
PiperOrigin-RevId: 173729585
---
Commit 5426a3c93 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tfe.get_optimizer_variables for fetching a list of variables which an
optimizer has created. Useful for saving them if executing eagerly.
PiperOrigin-RevId: 173726859
---
Commit 02f55400f authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
custom_gradient functions should be able to return their inputs
PiperOrigin-RevId: 173723462
---
Commit 78bac7290 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Add compatbility doc string to add_to_collection() and friends
PiperOrigin-RevId: 173716912
---
Commit 9bf00c371 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shorter import for tfe.
PiperOrigin-RevId: 173716375
---
Commit 0bc432a44 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
TFE: Add compatibility errors and doc strings to queues, input pipelines and Supervisor
PiperOrigin-RevId: 173712330
---
Commit e9af1af4f authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Fixing the sources docs in master.
---
Commit b31b08bb0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds randomized tests for newly introduced complex and related ops.
PiperOrigin-RevId: 173709206
---
Commit 466b9ecf8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Report total number of bytes to be transferred when the curl request makes no progress.
PiperOrigin-RevId: 173707608
---
Commit 7c4e98eb4 authored by Igor Ganichev<iga@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add Tensor._rank() getter
It appears to speed up SPINN model by about 1%, which is not much, but
this method is very simple and easier to use than len(tensor._shape_tuple())
PiperOrigin-RevId: 173703259
---
Commit d7cffe9c0 authored by Allen Lavoie<allenl@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds save and restore methods to tfe.Network
Save just saves the variables to a checkpoint. Restore either restores immediately or defers the restoration to variable creation time with a custom getter.
PiperOrigin-RevId: 173703075
---
Commit 9158f974a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use tf.app.run in gcs_smoke, so that the flags are explicitly parsed, instead of parsed when first accessed.
PiperOrigin-RevId: 173702828
---
Commit 3d39b32b9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix a tfprof bug. Throws an error when the flops cannot be calculated.
PiperOrigin-RevId: 173702740
---
Commit 73155f56a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Small code cleanup. Re-alphabetized.
PiperOrigin-RevId: 173702336
---
Commit 32bcf46f1 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
internal
PiperOrigin-RevId: 173697389
---
Commit 97484a4d9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173690751
---
Commit 873ef2ca3 authored by Oleg Zabluda<ozabluda@gmail.com>
Committed by GitHub<noreply@github.com>:
Fix documentation error in tf.size() - output type
---
Commit 16538dab7 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Saves summaries in the mnist example.
PiperOrigin-RevId: 173690505
---
Commit 6b05b36cd authored by Jiri Simsa<jsimsa@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Generalizing sloppy_interleave, making sloppiness an option.
PiperOrigin-RevId: 173687797
---
Commit 7775a6604 authored by Michael Case<mikecase@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal Change
PiperOrigin-RevId: 173685895
---
Commit 5120e75cf authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Move `@compatibility(eager)` from class docstring to __init__ docstring
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 7d7b2ec58 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Also fixes `@end_compatiblity` -> `@end_compatibility`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 96dc501cd authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Fix incorrect annotation tag in tf.Variable
In tf.Variable the annotation tag of `@compatiblity` should be `@compatibility`
---
Commit c22973867 authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Delete bad links (md links not supported in html blocks).
PiperOrigin-RevId: 173680417
---
Commit 4198e27be authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA:CPU] [XLA:GPU] Adds compiler support for C64 primitive type, including relevant elementwise unary and binary op lowering for CPU and GPU.
We use a named LLVM struct "complex64", laid out the same as std::complex<float>. This named struct is accessed via the llvm::Module, which required changes to accessors of PrimitiveTypeToIrType & friends.
Ops that require atan2 (in particular, angle and log) are only supported on GPU at this point. LLVM lacks a CPU intrinsic for atan or atan2, whereas libdevice provides this for GPU.
PiperOrigin-RevId: 173676849
---
Commit 4ae245a7d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
n/a (internal change only)
PiperOrigin-RevId: 173674697
---
Commit 0ccf5cf60 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Limit the amount of logspam a use of GraphKeys.VARIABLES causes.
Multiple copies of this warning next to each other often make logs unreadable.
PiperOrigin-RevId: 173672701
---
Commit a7b872527 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Fix an ouput typo in `ci_sanity.sh`
In the last PR #13924 (clang sanity check) the output message should be changed:
`due to the absence of Python code changes`
->
`due to the absence of .h or .cc code changes`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 58d2c5f50 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Shanqing Cai<cais@google.com>:
Add `SANITY_STEPS_DESC` for do_clang_format_check (#14030)
* Add `SANITY_STEPS_DESC` for do_clang_format_check
This fix is a follow up to PR #13924 to add the corresponding
description in `SANITY_STEPS_DESC`.
See comment #13924#discussion_r147314599
for details.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update description for Clang Format Check
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 62a9ab28c authored by ???<dev@goodow.com>
Committed by GitHub<noreply@github.com>:
fix broken link
---
Commit c6292a3f9 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Sanitize decode_csv_op.cc with `clang-format -i`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 285ea3910 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Add test cases for `double` support of `tf.decode_csv`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 73aaed655 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Update docs for `double` support on `tf.decode_csv`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 3595d1613 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Yong Tang<yong.tang.github@outlook.com>:
Add `double` support for `tf.decode_csv`
In the current tensorflow `tf.decode_csv` accepts
`float`, `int32`, `int64`, `string` but not `double`.
It seems adding `double` support makes sense as `StringToNumber`
already support `double` type.
This fix adds `double` support for `tf.decode_csv`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 37d483fda authored by Sergii Khomenko<sergii.khomenko@stylight.com>
Committed by Sergii Khomenko<sergii.khomenko@stylight.com>:
Fix a typo
---
Commit 9c8a520b0 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add WriteEvent method to SummaryWriterInterface
Another change will follow that adds an op for this method. It will be useful
for loading event logs into other types of summary writer implementations, like
a database.
This change might also make the new summary file writer go faster, due to less
memory copying.
PiperOrigin-RevId: 173640116
---
Commit a49455812 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 172654120
PiperOrigin-RevId: 174388998
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END_PUBLIC
---
Commit 9f8523640 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.
PiperOrigin-RevId: 173145770
---
Commit 01b6b0638 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Cut tracing memory cost
PiperOrigin-RevId: 173144626
---
Commit 5e23e0e67 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Erase cloned instructions on the fly when merging fusion nodes.
This avoids the awkward situation where an RNG which is clearly eligible for fusion becomes ineligible mid-fusion because it suddenly has an extra (dead) user.
PiperOrigin-RevId: 173141716
---
Commit 1038927c0 authored by Saurabh Saxena<srbs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add SerializeIterator op that serializes an IteratorResource into a variant tensor.
Add DeserializeIterator op that builds IteratorResource from a variant tensor.
Move BundleReaderWrapper and BundleWriterWrapper from dataset.h to iterator_ops.cc.
Add generic key-value store interfaces IteratorStateReader and IteratorStateWriter for reading/writing state of iterators.
Get rid of IteratorBundleReader and IteratorBundleWriter.
PiperOrigin-RevId: 173140858
---
Commit 57f3e529d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 173136642
---
Commit 0e56ffb7b authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix breakages in OSS builds
See example breakages logs at:
http://ci.tensorflow.org/job/tensorflow-cl-cpu-python3-pip/10847/console
http://ci.tensorflow.org/job/tensorflow-cl-gpu/11008/console
1. CL/172477381 added the no_oss tag to tests with oss_serial tags, which broke the logic of OSS_SERIAL tests in pip.sh and run_pip_test.sh. This CL fixes that.
2. The nccl_kernels BUILD target in contrib/nccl/BUILD was missing some dependencies. This CL adds the missing ones.
Fixes: #13918
PiperOrigin-RevId: 173133914
---
Commit 3ed049b67 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allows calling keras layers in eager mode.
PiperOrigin-RevId: 173129805
---
Commit 4ec6f2b07 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Switching contrib.summaries API to be context-manager-centric
PiperOrigin-RevId: 173129793
---
Commit 03b02ffc9 authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Put Bazel mirror URLs first
PiperOrigin-RevId: 173127955
---
Commit 46ab25e4d authored by David Majnemer<majnemer@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add support for convolutions with no spatial dimensions
PiperOrigin-RevId: 173126950
---
Commit fc56349b7 authored by Derek Murray<mrry@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.data] Convert dataset arguments to tensors as early as possible.
This change raises a `TypeError` earlier if (for example) the `batch_size`
argument to `Dataset.batch()` has the incorrect type.
PiperOrigin-RevId: 173126678
---
Commit 4f7503a87 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Support for registering multiple minibatches with register_fully_connected()
PiperOrigin-RevId: 173121735
---
Commit 2845bfcd6 authored by Tim Harley<tharley@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Avoid listing all modified Enter/RefEnter nodes on INFO, use VLOG(1) instead.
Leave a single, simple, message on INFO.
PiperOrigin-RevId: 173121726
---
Commit 434695921 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: _check_registration() supports multiple towers.
PiperOrigin-RevId: 173115870
---
Commit 670dddf4a authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Multi-minibatch support for
tf.contrib.kfac.fisher_blocks.FullyConnectedKFACBasicFB.
PiperOrigin-RevId: 173109677
---
Commit dc13a8e2f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix import of meta graphs with partitioned variables into a scope.
Saver inspects SliceInfo to decide the variable name when creating a
checkpoint. Before this fix even if a partitioned variable ("weights")
was imported into a scope "a" it would still be checkpointed as ("weights")
instead of ("a/weights") since import_scoped_meta_graph was not adjusting
the SliceInfo.
WARNING: if you use import_meta_graph on graphs with partitioned_variables WITH an import_scope argument AND then create a Saver to write/read checkpoints this change
may break your checkpoint loading.
PiperOrigin-RevId: 173105796
---
Commit eea089bdb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
K-FAC: Multi-tower support for ConvDiagonalFB.
PiperOrigin-RevId: 173105412
---
Commit 9b9cbbe2a authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 Tperm type support for `Transpose` (#13909)
* Add int64 Tperm type support for `Transpose`
This fix adds int64 Tperm support for `Transpose`. In
`array_ops.cc`, `Transpose` and `ConjugateTranspose`
have been specified as accepting int32 and int64 perm
types. However, only int32 kernels has been registered.
This fix adds the int64 perm support by removing
the constraint on Tperm, resolve the type at runtime,
and copying the data type accordingly to correctly handle
the int64/int32 types.
Additional tests have been added as well.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 of perm in Transpose.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add namespace to hide PermutationHelper
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Enable use_gpu=True for perm type test.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* extra // namespace annotation
* Adding a comment about int32 casting that should be safe.
Permutations only contain values that refer to dimensions, and the maximum number of dimensions we have is 254, so an int32 is always safe here.
---
Commit ac0004e71 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 shape support on GPU for stateless random ops. (#13908)
* Add int64 shape support on GPU for stateless random ops.
This fix adds int64 shape support on GPU for stateless random ops
`StatelessRandomUniform`, `StatelessRandomNormal`, `StatelessTruncatedNormal`.
The int64 shape for stateless random ops is already supported on CPU
with int32/int64 processed properly through `MakeShape`.
However, on GPU a type constraint `.TypeConstraint<int32>("T")`
has been improperly added. Such a type constraint actually prevents
an int64 shape type to run on GPU. (As a comparision, no type constraint
on CPU).
This fix removes the type constraint and allows int64 shape to be run on GPU.
This fix also adds test cases for int64 shape support on stateless random ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 shape support for stateless random ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int32 to shape types tested.
---
Commit 0d437c3be authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 padding support for MirrorPad (#13907)
* Add int64 padding support for MirrorPad
This fix adds int64 padding support for `MirrorPad`.
In the `array_ops.cc` the `MirrorPad`/`MirrorPadGrad`
has been specified as supporting int64 padding. The related
kernels does not have the int64 padding registered though.
This fix adds the int64 padding support. This fix also adds
additional test cases for coverage.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update template for CPU and GPU support of int64 paddings.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 padding support for MirrorPad
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Put eigen header first like before, just in case.
---
Commit 690003cc0 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add `int64` type `multiples` support for `tf.tile` (#13884)
* Add `int64` type `multiples` support for `tf.tile`
In the doc of `tf.tile` (tf.tile.__doc__) both `int32`
and `int64` are supported for `multiples`. However, the kernel
for `int64` is not registered yet.
This fix adds the support of `int64` `multiples` so that the
behavior matches the description of the docs.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update functors for int64 multiples support in `tf.tile`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update test cases for int64 of multiples in `tf.tile`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add GPU and non GPU tests
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* format with clang-format -i
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Move Tmultiples after T (as it is auxilliary)
And use `use_gpu=True`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit fd8d517b9 authored by Yunxing Dai<yunxing@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add tests for convolution 1D
RELNOTES: n/a
PiperOrigin-RevId: 173060283
---
Commit 40c475b48 authored by formath<jinpengliu@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
add segment_reduction_ops to tf_op_files (#13901)
---
Commit bfa4ec194 authored by Tayo Oguntebi<10927929+tayo@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Update node_def.proto comments (#13874)
The device field had outdated comments.
Note: We could consider adding tpu as an example here, e.g. "gpu" | "cpu" | "tpu". Thoughts?
---
Commit c9cb5a58d authored by formath<jinpengliu@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
protobuf lib path bug fix for benckmark on osx (#13878)
---
Commit 1c1dad105 authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add int64 axis support for reduction ops. (#13891)
* Add int64 axis support for reduction ops.
This fix is a follow up to PR 13863. In PR 13863 the
program crash is fixed if int64 axis is passed to reduction ops,
e.g. reduce_sum, reduce_max, etc. However, 13863 does not
process the case of int64 support, it merely fixes the crash.
This fix adds the support for int64 axis of reduction ops.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for mean, prod, sum
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for min and max.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add int64 axis support for reduce_all and reduce_any
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 axis support of reduce_any and reduce_all
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 17096081e authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Improve resize_bicubic performance by reorganizing loops (#13840)
* Improve resize_bicubic performance by reorganizing loops
This fix tries to address the issue raised in 13693 where
performance of `resize_bicubic` is not on par with opencv.
This fix rearranges the loops so that it is the same for
num_channel=40 and num_channel=3:
Pre-fix:
```
CHANNEL=40
opencv: 145.08ms
tf: 314.26ms
CHANNEL=3
opencv: 11.95ms
tf: 8.95ms
```
Post-fix:
```
CHANNEL=40
opencv: 144.25ms
tf: 214.55ms
CHANNEL=3
opencv: 11.78ms
tf: 14.07ms
```
This fix fixes 13693.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Keep special handling of `num_channels=3` for `resize_bicubic`
This commit keeps special handling of `num_channels=3` for
`resize_bicubic`:
Without special handling:
```
opencv: 11.78ms
tf: 14.07ms
```
With special handling:
```
opencv: 11.74ms
tf: 9.46ms
```
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Expand Benchmark test for resize_bicubic
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update from review feedback.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit b927df57f authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Update protobuf.cmake to b04e5cba356212e4e8c66c61bbe0c3a20537c5b9 (#13893)
This fix tries to address the issue raised in 8187 where
protobuf.cmake used different version as bazel.
The reason for discrepancy was due to the fact that a customerized
protobuf was needed with Windows patch. Since the patch has been
merged in (https://github.com/google/protobuf/pull/2203),
it makes sense to update protobuf.cmake so that the same version
of cmake is used.
This fix fixes 8187.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit d1183ca6a authored by Vijay Vasudevan<vrv@google.com>
Committed by GitHub<noreply@github.com>:
Give each variable a unique name in accumulate_n_v2_eager_test. (#13886)
---
Commit a69945810 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update pin for bazel-toolchains to latest version
PiperOrigin-RevId: 173002530
---
Commit 9d55c249c authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix doc in TF_CALL_ when invoked in mobile platform (#13881)
* Fix doc in TF_CALL_ when defined(IS_MOBILE_PLATFORM) && !defined(__ANDROID_TYPES_FULL__)
This is a small doc fix that includes bool as part of the types
that is supported in mobile (IS_MOBILE_PLATFORM && !__ANDROID_TYPES_FULL__),
as bool is clearly invoked in the following define.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Also add bool to android full version.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit ba49d8583 authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Slight change to reduce_test to avoid generating inf, which was triggering an inf detector unnecessarily.
PiperOrigin-RevId: 172965466
---
Commit 93e8f3c67 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding Python ApiDef overrides.
PiperOrigin-RevId: 172960496
---
Commit 0d6a2e353 authored by Anna R<annarev@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change.
PiperOrigin-RevId: 172960439
---
Commit 62df65c72 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add dtype argument to Mean and Accuracy object-oriented metrics.
PiperOrigin-RevId: 172957714
---
Commit d7409d32b authored by Simone Cirillo<my.accounts@gmx.se>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix import of spatial_softmax from tensorflow.contrib.layers (#13833)
---
Commit df8bce63d authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix crash when `int64` axis is passed to `tf.reduce_sum` (#13863)
* Fix crash when `int64` axis is passed to `tf.reduce_sum`
This fix tries to fix the crash triggered by `int64` axis passed
to `tf.reduce_sum`:
```
ubuntu@ubuntu:~/tensorflow2$ (cd && python)
Python 2.7.12 (default, Nov 19 2016, 06:48:10)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> v = tf.reduce_sum([1,2,3], tf.constant(0, tf.int64))
2017-10-20 15:55:06.993430: F tensorflow/core/framework/tensor.cc:601] Check failed: dtype() == expected_dtype (9 vs. 3)
ubuntu@ubuntu:~/tensorflow2$
```
The issue is caused by the fact that shape inference in `common_shape_fns.cc`
only assumes int32 without proper handling of diffent types. In `math_ops.cc`
both int32 and int64 are mentioned.
NOTE that this fix does not address the issue that int64 is not supported.
To allow int64 axis it is more than adding a template in `ReductionOp` as the type
of the axis seems to be decided by some other ways in Eigen.
This fix merely fixed the crash so that an error message will return without
exit from the python program "No OpKernel was registered to support Op 'Sum' with these attrs".
Still, I think its worth to at least allow the program to continue in case of unsupported kernel.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update implementation with a template helper function.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 29c7b4658 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adding the Stanford Tensorflow class to community resources.
PiperOrigin-RevId: 172956049
---
Commit f758b24a8 authored by Alexandre Passos<apassos@google.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Variable name for the eager test (#13873)
---
Commit a5fe66b15 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Removed some unnecessary broadcasts in binary ops where only one input needs
broadcasting (which is a fairly common case, even in the fallback path).
PiperOrigin-RevId: 172950493
---
Commit c77090a0a authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix issues where int64 crops could not be passed to batch_to_space. (#13862)
* Fix issues where int64 crops could not be passed to batch_to_space.
This fix tries to address the issue where int64 `crops` could
not be passed to `batch_to_space` even though both int32 and
int64 are specified as supported in the docs (tf.batch_to_space.__doc__)
The reason is that BatchToSpace kernel puts a constraint of int32 to crops
data types.
This fix removed the constraint so that int64 `crops` could be supported.
NOTE: Just removing the constraint should work and it is not necessary
to add specification to the kernel class template, as `SubtleMustCopyFlat`
called in the class already correctly handled both int32 and int64 cases.
Besides, other data types (e.g., float or double) will not be passed to the
kernel as they are guarded by the specification in `array_ops.cc`.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Also remove int64/int32 type constraints for SpaceToBatch kernels
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add test cases for int64 crops of batch_to_space and space_to_batch
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Fix test failures.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 494837936 authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make `tf.contrib.distributions` quadrature family accept a `Tensor` for
`quadrature_grid_and_probs` argument.
PiperOrigin-RevId: 172950094
---
Commit 9c825d32c authored by Jinze Bai<baijinze1994@163.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Merge two GPU kernel launching to one in DiagOp. (#13859)
---
Commit c0ca50a47 authored by Yan Facai (???)<facai.yan@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
ENH: add Relu6GradGrad (#13268)
* ENH: add Relu6GradGrad
* TST: add test case
* CLN: import nn_grad
* TST: add init value
---
Commit 8ff33271e authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Dump the computation's SessionModule as part of the tf_compile rule.
PiperOrigin-RevId: 172946149
---
Commit ebcae4a5e authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add streaming_precision_recall_at_equal_thresholds
This helper method computes streaming tp, fp, tn, fp, precision, and recall for the user in a way that exhibits O(T + N) time and space complexity (instead of O(T * N)), where T is the number of thresholds and N is the size of the predictions tensor.
Thanks to Frank Chu for the efficient algorithm!
PiperOrigin-RevId: 172946073
---
Commit ccfd9c1e5 authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Log Hlo IR during AOT compilation
PiperOrigin-RevId: 172944165
---
Commit 985031a10 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Allows tfe.enable_eager_execution(device_policy=tfe.DEVICE_POLICY_WARN).
PiperOrigin-RevId: 172943398
---
Commit 703182d85 authored by Mingxing Tan<tanmingxing@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add performance guide for fused decode_and_crop_jpeg optimization.
PiperOrigin-RevId: 172943116
---
Commit 66b1f4383 authored by Francois Chollet<fchollet@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Network compatible with eager mode. Currently it only allows to instantiate a Network in eager mode using the regular Keras API, and call it on eager tensors.
PiperOrigin-RevId: 172942569
---
Commit 41df2cec2 authored by ashankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Testing pending CL: 172939383
---
Commit 37fd95179 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Simplifies capturing code in graph_callable to use recent function improvements.
PiperOrigin-RevId: 172937003
---
Commit d1e7382af authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 172924803
PiperOrigin-RevId: 173347587
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END_PUBLIC
---
Commit 1e1b3d902 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Changed output directory for Pi CI build to fix permissions problem with nightlies (#13257)
* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed
* Fixed Pi Zero OpenBLAS build problems and tidied up directories used
* More robust checks in Pi build script
* Changed output directory for Pi CI build to fix permissions problem
---
Commit fe3a2e65c authored by Yan Facai (???)<facai.yan@gmail.com>
Committed by drpngx<drpngx@users.noreply.github.com>:
check invalid string type for dest_nodes in extract_sub_graph (#13057)
* BUG: check str type
* TST: add unit test
* CLN: remove list check
* CLN: use warning
* CLN: 2 indent
* CLN: raise TypeError if not list
* CLN: check string only
---
Commit 225ab7629 authored by Jean Wanka<jm.wanka@gmail.com>
Committed by Jean Wanka<jm.wanka@gmail.com>:
Fix polynomial decay with cycle for global step=0
For polynomial decay with cycle=True the learning rate at
step 0 becomes NaN, because in the process of calculating it we
devide by 0. This change should fix it, by setting the multiplier
for the decay steps to one for global_step=0.
---
Commit 286f57061 authored by Bjarke Hammersholt Roune<broune@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Make Service::TransferToClient not attempt to manipulate the literal when the transfer failed, preventing a crash and allowing the caller to see the reason for the failed transfer.
PiperOrigin-RevId: 169770126
---
Commit e0501bc4d authored by Yong Tang<yong.tang.github@outlook.com>
Committed by Shanqing Cai<cais@google.com>:
Fix GRUBlockCell parameter naming inconsistency (#13153)
* Fix GRUBlockCell parameter naming inconsistency
This fix tries to fix the issue in 13137 where
parameter `cell_size` is used instead of `num_units`.
This is inconsistent with other RNN cells.
This fix adds support of `num_units` while at the same
time maintains backward compatiblility for `cell_size`.
This fix fixes 13137.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add `@deprecated_args` for 'cell_size' in `GRUBlockCell`
This commit adds `@deprecated_args` for 'cell_size' in `GRUBlockCell`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Address review comment
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
---
Commit 02a2eba05 authored by Pete Warden<pete@petewarden.com>
Committed by gunan<gunan@google.com>:
Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change that's no longer needed (#13251)
* Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed
* Fixed Pi Zero OpenBLAS build problems and tidied up directories used
* More robust checks in Pi build script
---
Commit 8ef722253 authored by Sanjoy Das<sanjoy@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove a redundant setName.
The EmitComputation should have emitted a function with the right name, so use a
CHECK instead.
PiperOrigin-RevId: 169764856
---
Commit 1b94147dc authored by Neal Wu<wun@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder)
PiperOrigin-RevId: 169763373
---
Commit b1ada5f0c authored by Justine Tunney<jart@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorBoard python -m invoke in docs
PiperOrigin-RevId: 169758752
---
Commit 2957cd894 authored by Mustafa Ispir<ispir@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Local run option of estimator training.
PiperOrigin-RevId: 169756384
---
Commit 1dc2fe7ac authored by Gunhan Gulsoy<gunan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BEGIN_PUBLIC
Automated g4 rollback of changelist 166264198
PiperOrigin-RevId: 169998124
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PiperOrigin-RevId: 169411781
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PiperOrigin-RevId: 167754634
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PiperOrigin-RevId: 163994110
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Derek Murray
Martin Wicke
Yifei Feng
Andrew Harp
Benoit Steiner
Mark Daoust
Shanqing Cai